Servicegraph

Community

nostrband

servicegraph

The branded entry point to ServiceGraph — use whenever the user explicitly names **ServiceGraph** — "use ServiceGraph to…", "what datasets does ServiceGraph have", "search ServiceGraph for…", "look this up in ServiceGraph", "pull contacts from ServiceGraph for these domains", "how many credits do I have on ServiceGraph". ServiceGraph is a multi-dataset platform of metrics-enriched business data for founders — where to launch, who to email, who to hire. This skill explains how to drive the API (api.servicegraph.co / mcp.servicegraph.co) against ANY dataset — discover what datasets exist, discover a dataset's schema and filters, search free brief rows, and unlock contact + metric detail with credits. Dataset-agnostic by design — it discovers everything through the API and never assumes which datasets or fields exist. When the user describes an intent WITHOUT naming ServiceGraph (e.g. "find a PR agency in NY"), defer to the matching specific skill (find-pr-agency, find-marketing-agency, find-law-firm, …); this skill is for explicit ServiceGraph requests and for datasets no specific skill covers yet. Skip non-US firms, consumer/personal services, and individual freelancers.

Overview

Publisher	nostrband
Repository	`ServiceGraph`
Skill name	`servicegraph`
Stars	61
Forks	7
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by nostrband on GitHub. Read the source before you install it.

Installation

Install the Servicegraph AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/nostrband/ServiceGraph/tree/main/skills/servicegraph
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/nostrband/ServiceGraph.git /tmp/ServiceGraph
mkdir -p .claude/skills
cp -r /tmp/ServiceGraph/skills/servicegraph .claude/skills/servicegraph

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Servicegraph in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Servicegraph on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Servicegraph is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

servicegraph

The generic way to drive ServiceGraph — a platform of metrics-enriched business datasets for founders: where to launch, who to email, who to hire. Use this skill when the user explicitly reaches for ServiceGraph. For intent-first asks that don't name the brand ("find me a CPA firm"), a specific find-* skill is the better fit — defer to it.

There is no single global catalog, and this skill hardcodes nothing about the data. It discovers everything through the API at runtime, so it stays correct as datasets are added, renamed, or re-priced. Discover the datasets from the API, discover each dataset's schema and filters from the API, then search and unlock against it. Never assume a dataset id, a field name, or a price — ask the API.

Two ways to call

Both speak to the same backend; use whichever your harness has.

MCP server (preferred when loaded) — https://mcp.servicegraph.co, tool names contain servicegraph. OAuth handles credentials in the harness sandbox; no token enters the model context.
REST — https://api.servicegraph.co, any HTTP client, Bearer-auth with a vk_… key. The universal fallback.

What the API does

Everything except unlocking is free — discover, inspect, validate, and browse as much as you like; only revealing detail costs credits.

Capability	MCP tool	REST	Cost
Find what datasets exist (ids, sizes, prices)	`list_datasets`	`GET /v1/datasets`	free
Discover a dataset's schema + filter fields	`describe_dataset`, `list_fields`, `list_field_values`	`GET /v1/datasets/:id…`	free
Build & validate a filter (or draft one from plain English)	`check_filter`, `translate_intent`	`…/check`, `…/translate-intent`	free
Search → free brief rows (identity + headline metrics)	`search_dataset`	`…/search`	free
Read an already-unlocked row	`get_row`	`GET /v1/datasets/:id/:apex`	free
Unlock rows → reveal contacts + full metrics	`unlock_rows`	`POST …/unlocks`	spends credits
Check credit balance	`get_credit_balance`	`GET /v1/me/credits`	free

The shape is always the same: discover datasets → discover the dataset's schema → search free briefs → unlock the rows the user picks. Rows are keyed by apex domain (stripe.com, not a full URL). Confirm field and value names against the API before trusting a zero-result search — the filter parser accepts invented values silently.

Auth (REST path)

Keys are vk_* tokens the user mints at https://servicegraph.co/profile/api-keys (free credits on signup). The MCP path needs none of this.

Keep the token out of the model context — never read .env/credential files into context, and route authed calls through a shell wrapper so the key flows from the environment into the Authorization header. On 401, ask the user to set SERVICEGRAPH_API_KEY (env or .env.local) and retry; don't accept the key pasted into chat.

Cost & confirmation

Only unlock_rows spends credits, at the per-row price the dataset reports — read it, don't assume it. Unlocks are atomic (a 402 charges nothing) and cached for the dataset's TTL (re-unlocking within it is free). Confirm the cost with the user before unlocking a batch, and check get_credit_balance first if it's large.

Frequently asked questions

What does the Servicegraph AI skill do?

Why use Servicegraph on TypingMind?

Because you install it once and use it with any model. Servicegraph is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Servicegraph in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nostrband/ServiceGraph/tree/main/skills/servicegraph. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Servicegraph?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Servicegraph?

As many as you like. As long as a model supports skills, you can use Servicegraph with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Servicegraph AI skill free?

Yes. It is published on GitHub by nostrband under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

servicegraph

Two ways to call

What the API does

Auth (REST path)

Cost & confirmation

Frequently asked questions

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